code: def main():
      base_args = ["-config", inference_config_file]
      parser = _get_parser()
      opt = parser.parse_args(base_args)
      ArgumentParser.validate_translate_opts(opt)
      ArgumentParser._get_all_transform_translate(opt)
      ArgumentParser._validate_transforms_opts(opt)
      ArgumentParser.validate_translate_opts_dynamic(opt)
      set_random_seed(opt.seed, use_gpu(opt))
      base_name = os.path.basename(opt.models[0])
      print("# model: ", base_name)
      output_filename = os.path.join(
          output_directory, f"outputs_{base_name}_py.json"
      )
      evaluate(opt, output_filename)
  
file_path: OpenNMT-py/docs/source/examples/replicate_vicuna/simple_inference.py
imports: import argparse
  import json
  import os
  import time
  import onmt.opts
  from onmt.utils.parse import ArgumentParser
  from onmt.utils.misc import use_gpu, set_random_seed
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types